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25Oriental Renaissance: Innovative, educational, natural and social sciences Scientific Journal Impact Factor Advanced Sciences Index Factor
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VOLUME 2 | ISSUE 6 ISSN 2181-1784 SJIF 2022: 5.947 ASI Factor = 1.7
METHOD OF DETERMINATION OF TRANSPORT INTENSITY IN URBAN
Tashkent State Transport University,Uzbekistan [email protected] Khasanov M.N. Tashkent State Transport University Independent researcher of the Department of Social Sciences
Due to the rapid growth in population mobility, the demand for transport services is growing. The increase in the congestion of city streets creates problems characteristic of the harmful impact on the environment, the growing demand for energy resources. This highlights the relevance of improving the efficiency of the use of existing transport infrastructure through planning and modeling. The article describes a method for determining the actual traffic flow at intersections in the context of existing modes of transport (for example, the city of Navoi).
At the same time, the experimental assessment of the traffic flow in the city by means of such measurements as cordon, rush hour and daily, is carried out using modern information technologies. As a result of determining the quantitative indicators of the traffic flow, areas were identified that require improvement of the transport infrastructure of the city of Navoi.
Keywords: traffic flow, cordon, rush hour, daily measurements, types of measurements, traffic jam, intersection, road sections, observation device, transport, taxi.
В связи с быстрым ростом мобильности населения растет спрос на транспортные услуги. Увеличение загруженности городских улиц создает проблемы, характерные для вредного воздействия на окружающую среду, роста потребности в энергоресурсах. Это подчеркивает актуальность повышения эффективности использования существующей транспортной инфраструктуры посредством планирования и моделирования. В статье
CONDITIONS
Ramatov J.S.
Tashkent State Transport University Head of the Department of Social Sciences, Professor Rozigul Umarova, Associate Professor
ABSTRACT
АННОТАЦИЯ
Oriental Renaissance: Innovative, educational, natural and social sciences Scientific Journal Impact Factor Advanced Sciences Index Factor
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VOLUME 2 | ISSUE 6 ISSN 2181-1784 SJIF 2022: 5.947 ASI Factor = 1.7
описан метод определения фактического транспортного потока на перекрестках в разрезе существующих видов транспорта (на примере города Навои).
При этом экспериментальная оценка транспортного потока в городе посредством таких измерений, как кордон, час пик и суточный, осуществляется с использованием современных информационных технологий. В результате определения количественных показателей транспортного потока были выявлены направления, требующие улучшения транспортной инфраструктуры города Навои.
Ключевые слова: транспортный поток, кордон, час пик, суточные измерения, виды измерений, пробка, перекресток, участки дорог, устройство наблюдения, транспорт, такси.
INTRODUCTION
The development of all sectors of the economy and the growth of living standards require the development of the transport sector. The rapid growth of the exchange of material and commodity resources and mobility in the country leads to a growing demand for transport services. At the same time, each new facility, new residential areas, manufacturing enterprises, trade, consumer services and social facilities create additional loads on the transport system [1].
The purpose of the study: to develop a method of quantitative research of traffic flow on a selective basis.
Objectives of the study: to develop a procedure for organizing traffic intensity measurements at the main junctions of the regional road network; determination of categories of traffic intensity measurement; develop a procedure for analyzing measurement results
LITERATURE ANALYSIS AND METHODOLOGY
As a result, poorly organized transport services, congestion in road infrastructure facilities that do not respond to large flows in terms of technical parameters, increased travel time, increased fuel consumption and environmental damage (due to congested vehicles) increase the number of road accidents. Today in our republic 3 mln. The number of registered vehicles is growing by an average of 6-7% per year. This increases the importance of measures such as improving the quality of public transport services, solving transport problems in large cities, radically revising and expanding passenger routes to meet the needs of the population, managing non-route
Oriental Renaissance: Innovative, p VOLUME 2 | ISSUE 6
educational, natural and social sciences ISSN 2181-1784
Scientific Journal Impact Factor Q SJIF 2022: 5.947
Advanced Sciences Index Factor ASI Factor = 1.7
taxi activities, building bicycle transport infrastructure. In this regard, a number of issues of systemic urgency were identified at an extended video conference chaired by the President of the Republic of Uzbekistan on November 30, 2020 "On measures to further develop public transport in Tashkent and the regions." In particular, taking into account the current and next 10 years of demand for transport services, the development of transport master plans of large and medium-sized cities, including specific targeted measures for the strategic development of the transport system.
Implementation of the above tasks requires a study of the current state of the urban transport system.
Transport problems are mainly solved by deterministic approach and physical analogy method based on pro T.Metson, R.Smith, V.Leitsbach, H.Inose and T.Hamada conducted research on identification, analysis of traffic flow data, assessment of traffic flow indicators and their forecasting [5-7]. Based on the analysis, the process of modeling traffic flow showed that the capabilities of modern information technology are not fully involved in the process of determining traffic intensity, and the need to take into account the specifics of the region in the process of determining traffic intensity [8-9].bability theory and mathematical statistical methods based on systematic approach [2-4].
DISCUSSION AND RESULTS
Measurement of traffic intensity is carried out for 3 types of objects:
1. At the crossroads;
2. Along the two sides of the traffic at the intersection and at the intersection;
3. In all maneuvering directions allowed on each side of the intersection and road intersection.
Measurement of traffic intensity is carried out using video surveillance cameras. Video quality and viewing angles should ensure visibility of not only the intersection, but also the existing pedestrian crossings at the relevant intersection
Categories of measurement:
Type 1 - in 2 directions (forward and backward) at the intersection of a section of road or street (Figure
1).
Figure 1. Measurement at the intersection of a section of road or street
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Oriental Renaissance: Innovative, educational, natural and social sciences Scientific Journal Impact Factor Advanced Sciences Index Factor
VOLUME 2 | ISSUE 6 ISSN 2181-1784 SJIF 2022: 5.947 ASI Factor = 1.7
Type 2 - Measurement along both sides of traffic at the intersection and road intersection. For example, at a 4-sided intersection in 8 directions (4 sides * 2 directions), at the intersection - directions (intersection sides * direction) (Fig. 2).
Figure 2. Measurement along both sides of traffic at the intersection and at the intersection.
Type 3 - Measurement in all maneuvering directions allowed on each side of the intersection and road intersection (right turn, left turn, right direction, turn) (Figure 3).
Figure 3. Measurement in all maneuvering directions allowed on each side of the intersection and road intersection
Measurement period:
The measurement will take place on weekdays, from Monday to Thursday. Depending on the measurement period, the time, cord, and diary are available, and are determined by the intersection and location dislocation being studied.
The analysis of video images taken by video surveillance cameras is carried out visually and recorded on a sheet of records of the number of vehicles. PTV is downloaded by exporting to Vissim programs.
Oriental Renaissance: Innovative, educational, natural and social sciences Scientific Journal Impact Factor Advanced Sciences Index Factor
VOLUME 2 | ISSUE 6 ISSN 2181-1784 SJIF 2022: 5.947 ASI Factor = 1.7
Figure 5. Average traffic flow in the Navoi agglomeration CONCLUSION
The structure of traffic flow in Navoi was determined by the method of quantitative research of the developed traffic flow on a selective basis. According to the results of the study, cars predominate in the flow of the Navoi agglomeration, accounting for 78%. 15% and 63.5%, respectively, for taxis and private transport. It was found that minibuses account for 14% of the average traffic flow and trucks for 5.7% of the average traffic flow.
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Oriental Renaissance: Innovative, educational, natural and social sciences Scientific Journal Impact Factor Advanced Sciences Index Factor
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VOLUME 2 | ISSUE 6 ISSN 2181-1784 SJIF 2022: 5.947 ASI Factor = 1.7
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